class_docstr: Allow chatbots to be trained with the data from the Ubuntu Dialog Corpus.
code: def __init__(self, chatbot, **kwargs):
      super().__init__(chatbot, **kwargs)
      home_directory = os.path.expanduser("~")
  
      self.data_download_url = kwargs.get(
          "ubuntu_corpus_data_download_url",
          "http://cs.mcgill.ca/~jpineau/datasets/ubuntu-corpus-1.0/ubuntu_dialogs.tgz",
      )
  
      self.data_directory = kwargs.get(
          "ubuntu_corpus_data_directory",
          os.path.join(home_directory, "ubuntu_data"),
      )
  
      self.extracted_data_directory = os.path.join(
          self.data_directory, "ubuntu_dialogs"
      )
  
      # Create the data directory if it does not already exist
      if not os.path.exists(self.data_directory):
          os.makedirs(self.data_directory)
  
imports: import os
  import sys
  import csv
  import time
  from dateutil import parser
  from chatterbot.conversation import Statement
  from chatterbot.tagging import PosLemmaTagger
  from chatterbot import utils
label_desc: Use image node_id 1 to create a new UbuntuCorpusTrainer object from inherited base classes: Trainer with example: obj = UbuntuCorpusTrainer(chatbot)